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作 者:Tuo Lin Rongzhe Zhao Shengjia Tu Hao Wu Hui Zhang Xin M Tu
机构地区:[1]Division of Biostatistics and Bioinformatics,Herbert Wertheim School of Public Health and Human Longevity Science,UC San Diego,La Jolla,California,USA [2]College of Environmental Science and Engineering,Tongji University,Shanghai,China [3]Department of Mathematics and Statistics,Georgia State University,Atlanta,Georgia,USA [4]Division of Biostatistics,Department of Preventive Medicine,Northwestern University Feinberg School of Medicine,Chicago,Illinois,USA
出 处:《General Psychiatry》2023年第2期143-147,共5页综合精神医学(英文)
基 金:supported by the National Institutes of Health(grant UL1TR001442)of Georgia Clinical and Translational Science Alliance funding.
摘 要:Although logistic regression is the most popular for modelling regression relationships with binary responses,many find relative risk(RR),or risk ratio,easier to interpret and prefer to use this measure of risk in regression analysis.Indeed,since Zou published his modified Poisson regression approach for modelling RR for cross-sectional data,his paper has been cited over 7000 times,demonstrating the popularity of this alternative measure of risk in regression analysis involving binary responses.As longitudinal studies have become increasingly popular in clinical trials and observational studies,it is imperative to extend Zou’s approach for longitudinal data.The two most popular approaches for longitudinal data analysis are the generalised linear mixed-effects model(GLMM)and generalised estimating equations(GEE).However,the parametric GLMM cannot be used for the extension within the current context,because Zou’s approach treats the binary response as a Poisson variable,which is at odds with the Bernoulli distribution for the binary response.On the other hand,as it imposes no mathematical model on data distributions,the semiparametric GEE is coherent with Zou’s modified Poisson regression.In this paper,we develop a GEE-based longitudinal model for binary responses to provide inference about RR.
关 键 词:sectional COHERENT ESTIMATING
分 类 号:R749[医药卫生—神经病学与精神病学]
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